code: def min_max_normalize(score, min_score, max_score):
      normalized_score = (score - min_score) / (max_score - min_score)
      return normalized_score
  
file_path: open-moe/eval/result_retrieval_bigbenchlite.py
imports: import json
  import subprocess
  import os
  import logging
  import sys
  import warnings
  import pandas
label_desc: Use image node_id 4 for calling a global function with example usage: min_max_normalize(score, min_score, max_score) and returns: normalized_score